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对 GTEx 组织进行细胞去卷积可助力疾病和细胞类型相关调控变体的发现。

Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants.

机构信息

Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, 92093, USA.

Department of Biomedical Informatics, University of California, San Diego, La Jolla, CA, 92093, USA.

出版信息

Nat Commun. 2020 Feb 19;11(1):955. doi: 10.1038/s41467-020-14561-0.

Abstract

The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different cell types. Here, using gene expression signatures obtained from mouse cell types, we deconvolute bulk RNA-seq samples from 28 GTEx tissues to quantify cellular composition, which reveals striking heterogeneity across these samples. Conducting eQTL analyses for GTEx liver and skin samples using cell composition estimates as interaction terms, we identify thousands of genetic associations that are cell-type-associated. The skin cell-type associated eQTLs colocalize with skin diseases, indicating that variants which influence gene expression in distinct skin cell types play important roles in traits and disease. Our study provides a framework to estimate the cellular composition of GTEx tissues enabling the functional characterization of human genetic variation that impacts gene expression in cell-type-specific manners.

摘要

基因型组织表达 (GTEx) 资源为研究遗传变异对人类组织中基因表达的调控影响提供了深入了解;然而,迄今为止,它尚未考虑变异如何在不同细胞类型的分辨率下发挥作用。在这里,我们使用从小鼠细胞类型中获得的基因表达特征,对来自 28 个 GTEx 组织的批量 RNA-seq 样本进行去卷积,以定量细胞组成,这揭示了这些样本之间惊人的异质性。使用细胞组成估计作为交互项,对 GTEx 肝脏和皮肤样本进行 eQTL 分析,我们确定了数千个与细胞类型相关的遗传关联。与皮肤疾病相关的皮肤细胞类型相关 eQTL 表明,影响不同皮肤细胞类型中基因表达的变体在性状和疾病中起着重要作用。我们的研究提供了一个框架来估计 GTEx 组织的细胞组成,从而能够对影响以细胞类型特异性方式表达基因的人类遗传变异进行功能特征分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42c/7031340/eea33f6c21c3/41467_2020_14561_Fig1_HTML.jpg

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